Artificially generated data sets for testing DNA sequence assembly algorithms.
about
Best practices for evaluating single nucleotide variant calling methods for microbial genomicsSInC: an accurate and fast error-model based simulator for SNPs, Indels and CNVs coupled with a read generator for short-read sequence dataCAP3: A DNA sequence assembly programFASTQSim: platform-independent data characterization and in silico read generation for NGS datasets.rMotifGen: random motif generator for DNA and protein sequences.Grinder: a versatile amplicon and shotgun sequence simulatorSystematic review of next-generation sequencing simulators: computational tools, features and perspectives.An Efficient Genome Fragment Assembling Using GA with Neighborhood Aware Fitness Function
P2860
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P2860
Artificially generated data sets for testing DNA sequence assembly algorithms.
description
1993 nî lūn-bûn
@nan
1993年の論文
@ja
1993年論文
@yue
1993年論文
@zh-hant
1993年論文
@zh-hk
1993年論文
@zh-mo
1993年論文
@zh-tw
1993年论文
@wuu
1993年论文
@zh
1993年论文
@zh-cn
name
Artificially generated data sets for testing DNA sequence assembly algorithms.
@en
type
label
Artificially generated data sets for testing DNA sequence assembly algorithms.
@en
prefLabel
Artificially generated data sets for testing DNA sequence assembly algorithms.
@en
P356
P1433
P1476
Artificially generated data sets for testing DNA sequence assembly algorithms.
@en
P2093
P304
P356
10.1006/GENO.1993.1180
P577
1993-04-01T00:00:00Z